Evidence map›Paper›PMID 25886298›Full record

SynthesisBMC infectious diseases2015

Prevalence of early-onset neonatal infection among newborns of mothers with bacterial infection or colonization: a systematic review and meta-analysis.

Grace J Chan, Anne C C Lee, Abdullah H Baqui, Jingwen Tan, Robert E Black

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 4 pooled it
6.6field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 4 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Risk of Early-Onset Neonatal Group B Streptococcal Disease With Maternal Colonization Worldwide: Systematic Review and Meta-analyses.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
    Pooled it
  5. Article
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  9. Review
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  11. Journal of medical microbiology · 2026
    Article
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  14. Carriage of antimicrobial-resistant Enterobacterales among pregnant women and newborns in Amhara, Ethiopia.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2024
    Article
  15. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Grace J ChanBoston Children's Hospital, Boston, MA, 02115, USA. grace.chan@childrens.harvard.edu.
Anne C C LeeBrigham and Women's Hospital, Boston, MA, USA. alee6@partners.org.
Abdullah H BaquiJohns Hopkins School of Public Health, Baltimore, MD, 21205, USA. abaqui@jhsph.edu.
Jingwen TanJohns Hopkins School of Public Health, Baltimore, MD, 21205, USA. jitan@jhsph.edu.
Robert E BlackJohns Hopkins School of Public Health, Baltimore, MD, 21205, USA. rblack@jhsph.edu.
Johns Hopkins University · USBoston Children's Hospital · US

Funding

CARDIOVASCULAR EPIDEMIOLOGY INSTITUTIONAL TRAININGT32HL007024 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Elizabeth Selvin · 1985 to 2026
$17.5M
Institute for Clinical and Translational Research (KL2)KL2RR025006 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$12.9M
NCRR NIH HHS 5KL2RR025006NCRR NIH HHS KL2 RR025006NHLBI NIH HHS T32 HL007024
6 · The paper itself

Abstract

backgroundAlthough neonatal infections cause a significant proportion of deaths in the first week of life, little is known about the burden of neonatal disease originating from maternal infection or colonization globally. This paper describes the prevalence of vertical transmission--the percentage of newborns with neonatal infection among newborns exposed to maternal infection.

methodsWe searched Pubmed, Embase, Scopus, Web of Science, Cochrane Library, and WHO Regional Databases for studies of maternal infection, vertical transmission, and neonatal infection. Studies that measured prevalence of bacterial vertical transmission were included. Random effects meta-analyses were used to pool data to calculate prevalence estimates of vertical transmission.

results122 studies met the inclusion criteria. Only seven studies (5.7%) were from very high neonatal mortality settings. Considerable heterogeneity existed between studies given the various definitions of infection (lab-confirmed, clinical signs), colonization, and risk factors of infection. The prevalence of early onset neonatal lab-confirmed infection among newborns of mothers with lab-confirmed infection was 17.2% (95%CI 6.5-27.9). The prevalence of neonatal lab-confirmed infection among newborns of colonized mothers was 0% (95% CI 0.0-0.0). The prevalence of neonatal surface colonization among newborns of colonized mothers ranged from 30.9-45.5% depending on the organism. The prevalence of neonatal lab-confirmed infection among newborns of mothers with risk factors (premature rupture of membranes, preterm premature rupture of membranes, prolonged rupture of membranes) ranged from 2.9-19.2% depending on the risk factor.

conclusionsThe prevalence of early-onset neonatal infection is high among newborns of mothers with infection or risk factors for infection. More high quality studies are needed particularly in high neonatal mortality settings to accurately estimate the prevalence of early-onset infection among newborns at risk.

Indexed as

Bacterial InfectionsFemaleGlobal HealthHumansInfant, NewbornInfant, Newborn, DiseasesInfectious Disease Transmission, VerticalMothersPrevalenceRisk Factors

Identifiers

PMID25886298
PMCPMC4364328
OpenAlexW2078888982

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.